solar_mppt_resistive_load

生成斜齿轮、用matlab编程、然后生成节点单元的编号(see the chinese)

matlab 检测时频分布中的正弦曲线，C编写，可用matlab调用(matlab sine curve in the frequency distribution of detection, C preparation, available matlab call)

The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value.

说明：  simulink风力发电机组的PQ计算模块，用于风电领域的集成模块(P&Q control)

matlab MPPT仿真,定步长电导增量法，在matlab2011上验证可以使用(matlab mppt)

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

how to use .wav in matlab?

les contours actif parametrique (snakes)

货币市场及利率互换定价 基于matlab(Money market and interest rate swap pricing based on matlab)

说明：  模型是在模糊集合理论和概率理论进行交叉渗透的基础上构造的特定算法，即云发生器，进行定性概念和定量表示之间的不确定转换，它揭示随机性和模糊性的内在关联性。在此利用实例解释云模型的应用。(Model is based on a specific algorithm of fuzzy set theory and probability theory on cross-permeable structure, namely cloud generator, be uncertain conversion between qualitative concept and quantitative representation, which reveals the inherent randomness and fuzziness relevance. In this application the use of examples to explain the cloud model.)